feat: Add Signal Flow Analysis (C3.10) and Test Framework Detection
Comprehensive Godot signal analysis and test framework support: ## Signal Flow Analysis (C3.10) Enhanced GDScript analyzer to extract: - Signal declarations with documentation comments - Signal connections (.connect() calls) - Signal emissions (.emit() calls) - Signal flow chains (source → signal → handler) Created SignalFlowAnalyzer class: - Analyzes 208 signals, 634 connections, 298 emissions (Cosmic Ideler) - Detects event patterns: - EventBus Pattern (centralized event system) - Observer Pattern (multi-connected signals) - Event Chains (cascading signal emissions) - Generates: - signal_flow.json (full analysis data) - signal_flow.mmd (Mermaid diagram) - signal_reference.md (human-readable docs) Statistics: - Signal density calculation (signals per file) - Most connected signals ranking - Most emitted signals ranking ## Test Framework Detection Added support for 3 Godot test frameworks: - **GUT** (Godot Unit Test) - extends GutTest, test_* functions - **gdUnit4** - @suite and @test annotations - **WAT** (WizAds Test) - extends WAT.Test Detection results (Cosmic Ideler): - 20 GUT test files - 396 test cases detected ## Integration Updated codebase_scraper.py: - Signal flow analysis runs automatically for Godot projects - Test framework detection integrated into code analysis - SKILL.md shows signal statistics and test framework info - New section: 📡 Signal Flow Analysis (C3.10) ## Results (Tested on Cosmic Ideler) - 443/452 files analyzed (98%) - 208 signals documented - 634 signal connections mapped - 298 signal emissions tracked - 3 event patterns detected (EventBus, Observer, Event Chains) - 20 GUT test files found with 396 test cases Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
This commit is contained in:
yusyus
@@ -1669,15 +1669,47 @@ class CodeAnalyzer:
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"line_number": content[: match.start()].count("\n") + 1
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})
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# Extract signals
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# Extract signals with documentation
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signal_connections = []
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signal_emissions = []
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for match in re.finditer(r'signal\s+(\w+)(?:\(([^)]*)\))?', content):
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signal_name, params = match.groups()
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line_number = content[: match.start()].count("\n") + 1
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# Extract documentation comment above signal (## or #)
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doc_comment = None
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lines = content[:match.start()].split('\n')
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if len(lines) >= 2:
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prev_line = lines[-1].strip()
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if prev_line.startswith('##') or prev_line.startswith('#'):
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doc_comment = prev_line.lstrip('#').strip()
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signals.append({
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"name": signal_name,
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"parameters": params if params else "",
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"line_number": line_number,
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"documentation": doc_comment
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})
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# Extract signal connections (.connect() calls)
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for match in re.finditer(r'(\w+(?:\.\w+)*)\.connect\(([^)]+)\)', content):
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signal_path, handler = match.groups()
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signal_connections.append({
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"signal": signal_path,
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"handler": handler.strip(),
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"line_number": content[: match.start()].count("\n") + 1
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})
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# Extract signal emissions (.emit() calls)
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for match in re.finditer(r'(\w+(?:\.\w+)*)\.emit\(([^)]*)\)', content):
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signal_path, args = match.groups()
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signal_emissions.append({
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"signal": signal_path,
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"arguments": args.strip() if args else "",
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"line_number": content[: match.start()].count("\n") + 1
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})
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# Extract @export variables
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for match in re.finditer(r'@export(?:\(([^)]+)\))?\s+var\s+(\w+)(?:\s*:\s*(\w+))?(?:\s*=\s*(.+?))?(?:\n|$)', content):
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hint, var_name, var_type, default = match.groups()
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@@ -1688,15 +1720,61 @@ class CodeAnalyzer:
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"export_hint": hint,
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"line_number": content[: match.start()].count("\n") + 1
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})
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return {
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# Detect test framework
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test_framework = None
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test_functions = []
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# GUT (Godot Unit Test) - extends "res://addons/gut/test.gd" or extends GutTest
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if re.search(r'extends\s+["\']?res://addons/gut/test\.gd["\']?', content) or \
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re.search(r'extends\s+GutTest', content):
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test_framework = "GUT"
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# Extract test functions (test_* functions)
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for func in functions:
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if func["name"].startswith("test_"):
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test_functions.append(func)
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# gdUnit4 - @suite class annotation
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elif re.search(r'@suite', content):
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test_framework = "gdUnit4"
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# Extract test functions (@test annotated or test_* prefix)
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for i, func in enumerate(functions):
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# Check for @test annotation above function
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func_line = func["line_number"]
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lines = content.split('\n')
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if func_line > 1:
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prev_line = lines[func_line - 2].strip()
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if prev_line.startswith('@test'):
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test_functions.append(func)
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elif func["name"].startswith("test_"):
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test_functions.append(func)
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# WAT (WizAds Test) - less common
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elif re.search(r'extends\s+WAT\.Test', content):
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test_framework = "WAT"
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for func in functions:
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if func["name"].startswith("test_"):
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test_functions.append(func)
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result = {
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"file": file_path,
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"classes": classes,
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"functions": functions,
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"signals": signals,
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"exports": exports
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"exports": exports,
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"signal_connections": signal_connections,
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"signal_emissions": signal_emissions,
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}
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# Add test framework info if detected
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if test_framework:
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result["test_framework"] = test_framework
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result["test_functions"] = test_functions
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return result
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if __name__ == "__main__":
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# Test the analyzer
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@@ -39,6 +39,7 @@ from skill_seekers.cli.api_reference_builder import APIReferenceBuilder
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from skill_seekers.cli.code_analyzer import CodeAnalyzer
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from skill_seekers.cli.config_extractor import ConfigExtractor
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from skill_seekers.cli.dependency_analyzer import DependencyAnalyzer
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from skill_seekers.cli.signal_flow_analyzer import SignalFlowAnalyzer
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# Try to import pathspec for .gitignore support
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try:
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@@ -1168,6 +1169,30 @@ def analyze_codebase(
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else:
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logger.info("No clear architectural patterns detected")
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# Analyze signal flow patterns (C3.10) - Godot projects only
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signal_analysis = None
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has_godot_files = any(
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f.get("language") in ("GDScript", "GodotScene", "GodotResource", "GodotShader")
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for f in results.get("files", [])
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)
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if has_godot_files:
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logger.info("Analyzing signal flow patterns (Godot)...")
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try:
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signal_analyzer = SignalFlowAnalyzer(results)
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signal_output = signal_analyzer.save_analysis(output_dir)
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signal_analysis = signal_analyzer.analyze()
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stats = signal_analysis["statistics"]
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logger.info(f"📡 Signal Analysis Complete:")
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logger.info(f" - {stats['total_signals']} signal declarations")
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logger.info(f" - {stats['total_connections']} signal connections")
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logger.info(f" - {stats['total_emissions']} signal emissions")
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logger.info(f" - {len(signal_analysis['patterns'])} patterns detected")
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logger.info(f"📁 Saved to: {signal_output}")
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except Exception as e:
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logger.warning(f"Signal flow analysis failed: {e}")
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# Extract markdown documentation (C3.9)
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docs_data = None
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if extract_docs:
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@@ -1308,6 +1333,12 @@ Use this skill when you need to:
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skill_content += "- ✅ Architectural Analysis (C3.7)\n"
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if extract_docs:
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skill_content += "- ✅ Project Documentation (C3.9)\n"
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# Check if signal flow analysis was performed
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has_signal_analysis = (output_dir / "signals" / "signal_flow.json").exists()
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if has_signal_analysis:
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skill_content += "- ✅ Signal Flow Analysis (C3.10)\n"
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skill_content += "\n"
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# Add design patterns if available
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@@ -1339,6 +1370,11 @@ Use this skill when you need to:
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if config_content:
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skill_content += config_content
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# Add signal flow analysis if available (C3.10)
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signal_content = _format_signal_flow_section(output_dir, results)
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if signal_content:
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skill_content += signal_content
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# Add project documentation if available
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if extract_docs and docs_data:
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docs_content = _format_documentation_section(output_dir, docs_data)
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@@ -1606,6 +1642,78 @@ def _format_config_section(output_dir: Path) -> str:
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return content
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def _format_signal_flow_section(output_dir: Path, results: dict[str, Any]) -> str:
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"""Format signal flow analysis section (C3.10 - Godot projects)."""
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signal_file = output_dir / "signals" / "signal_flow.json"
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if not signal_file.exists():
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return ""
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try:
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with open(signal_file, encoding="utf-8") as f:
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signal_data = json.load(f)
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except Exception:
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return ""
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stats = signal_data.get("statistics", {})
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patterns = signal_data.get("patterns", {})
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# Only show section if there are signals
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if stats.get("total_signals", 0) == 0:
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return ""
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content = "## 📡 Signal Flow Analysis\n\n"
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content += "*From C3.10 signal flow analysis (Godot Event System)*\n\n"
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# Statistics
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content += "**Signal Statistics:**\n"
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content += f"- **Total Signals**: {stats.get('total_signals', 0)}\n"
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content += f"- **Signal Connections**: {stats.get('total_connections', 0)}\n"
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content += f"- **Signal Emissions**: {stats.get('total_emissions', 0)}\n"
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content += f"- **Signal Density**: {stats.get('signal_density', 0):.2f} signals per file\n\n"
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# Most connected signals
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most_connected = stats.get("most_connected_signals", [])
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if most_connected:
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content += "**Most Connected Signals:**\n"
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for sig in most_connected[:5]:
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content += f"- `{sig['signal']}`: {sig['connection_count']} connections\n"
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content += "\n"
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# Detected patterns
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if patterns:
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content += "**Detected Event Patterns:**\n"
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for pattern_name, pattern_data in patterns.items():
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if pattern_data.get("detected"):
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confidence = pattern_data.get("confidence", 0)
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description = pattern_data.get("description", "")
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content += f"- **{pattern_name}** (confidence: {confidence:.2f})\n"
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content += f" - {description}\n"
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content += "\n"
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# Test framework detection
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test_files = [
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f for f in results.get("files", [])
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if f.get("test_framework")
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]
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if test_files:
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frameworks = {}
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total_tests = 0
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for f in test_files:
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fw = f.get("test_framework")
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test_count = len(f.get("test_functions", []))
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frameworks[fw] = frameworks.get(fw, 0) + 1
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total_tests += test_count
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content += "**Test Framework Detection:**\n"
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for fw, count in frameworks.items():
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content += f"- **{fw}**: {count} test files, {total_tests} test cases\n"
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content += "\n"
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content += "*See `references/signals/` for complete signal flow analysis*\n\n"
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return content
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def _format_documentation_section(_output_dir: Path, docs_data: dict[str, Any]) -> str:
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"""Format project documentation section from extracted markdown files.
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308
src/skill_seekers/cli/signal_flow_analyzer.py
Normal file
308
src/skill_seekers/cli/signal_flow_analyzer.py
Normal file
@@ -0,0 +1,308 @@
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"""
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Signal Flow Analyzer for Godot Projects (C3.10)
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Analyzes signal connections, emissions, and event flow patterns
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in Godot GDScript projects.
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"""
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import json
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from pathlib import Path
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from typing import Any
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from collections import defaultdict
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class SignalFlowAnalyzer:
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"""Analyzes signal flow patterns in Godot projects."""
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def __init__(self, analysis_results: dict[str, Any]):
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"""
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Initialize with code analysis results.
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Args:
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analysis_results: Dict containing analyzed files with signal data
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"""
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self.files = analysis_results.get("files", [])
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self.signal_declarations = {} # signal_name -> [file, params, docs]
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self.signal_connections = defaultdict(list) # signal -> [handlers]
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self.signal_emissions = defaultdict(list) # signal -> [locations]
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self.signal_flow_chains = [] # [(source, signal, target)]
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def analyze(self) -> dict[str, Any]:
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"""
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Perform signal flow analysis.
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Returns:
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Dict containing signal flow analysis results
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"""
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self._extract_signals()
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self._extract_connections()
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self._extract_emissions()
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self._build_flow_chains()
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self._detect_patterns()
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return {
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"signal_declarations": self.signal_declarations,
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"signal_connections": dict(self.signal_connections),
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"signal_emissions": dict(self.signal_emissions),
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"signal_flow_chains": self.signal_flow_chains,
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"patterns": self.patterns,
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"statistics": self._calculate_statistics(),
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}
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def _extract_signals(self):
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"""Extract all signal declarations."""
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for file_data in self.files:
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if file_data.get("language") != "GDScript":
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continue
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file_path = file_data["file"]
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signals = file_data.get("signals", [])
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for signal in signals:
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signal_name = signal["name"]
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self.signal_declarations[signal_name] = {
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"file": file_path,
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"parameters": signal.get("parameters", ""),
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"documentation": signal.get("documentation"),
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"line_number": signal.get("line_number", 0),
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}
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def _extract_connections(self):
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"""Extract all signal connections (.connect() calls)."""
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for file_data in self.files:
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if file_data.get("language") != "GDScript":
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continue
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file_path = file_data["file"]
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connections = file_data.get("signal_connections", [])
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for conn in connections:
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signal_path = conn["signal"]
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handler = conn["handler"]
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line = conn.get("line_number", 0)
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self.signal_connections[signal_path].append(
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{"handler": handler, "file": file_path, "line": line}
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)
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def _extract_emissions(self):
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"""Extract all signal emissions (.emit() calls)."""
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for file_data in self.files:
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if file_data.get("language") != "GDScript":
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continue
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file_path = file_data["file"]
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emissions = file_data.get("signal_emissions", [])
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for emission in emissions:
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signal_path = emission["signal"]
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args = emission.get("arguments", "")
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line = emission.get("line_number", 0)
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self.signal_emissions[signal_path].append(
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{"arguments": args, "file": file_path, "line": line}
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)
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def _build_flow_chains(self):
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"""Build signal flow chains (A emits -> B connects)."""
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# For each emission, find corresponding connections
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for signal, emissions in self.signal_emissions.items():
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if signal in self.signal_connections:
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connections = self.signal_connections[signal]
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for emission in emissions:
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for connection in connections:
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self.signal_flow_chains.append(
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{
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"signal": signal,
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"source": emission["file"],
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"target": connection["file"],
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"handler": connection["handler"],
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}
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)
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def _detect_patterns(self):
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"""Detect common signal usage patterns."""
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self.patterns = {}
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# EventBus pattern - signals on autoload/global scripts
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eventbus_signals = [
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sig
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for sig, data in self.signal_declarations.items()
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if "EventBus" in data["file"]
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or "autoload" in data["file"].lower()
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or "global" in data["file"].lower()
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]
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if eventbus_signals:
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self.patterns["EventBus Pattern"] = {
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"detected": True,
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"confidence": 0.9,
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"signals": eventbus_signals,
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"description": "Centralized event system using global signals",
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}
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# Observer pattern - signals with multiple connections
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multi_connected = {
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sig: len(conns)
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for sig, conns in self.signal_connections.items()
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if len(conns) >= 3
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}
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if multi_connected:
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self.patterns["Observer Pattern"] = {
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"detected": True,
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"confidence": 0.85,
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"signals": list(multi_connected.keys()),
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"description": f"{len(multi_connected)} signals with 3+ observers",
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}
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# Event chains - signals that trigger other signals
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chain_length = len(self.signal_flow_chains)
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if chain_length > 0:
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self.patterns["Event Chains"] = {
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"detected": True,
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"confidence": 0.8,
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"chain_count": chain_length,
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"description": "Signals that trigger other signal emissions",
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}
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def _calculate_statistics(self) -> dict[str, Any]:
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"""Calculate signal usage statistics."""
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total_signals = len(self.signal_declarations)
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total_connections = sum(
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len(conns) for conns in self.signal_connections.values()
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)
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total_emissions = sum(len(emits) for emits in self.signal_emissions.items())
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# Find most connected signals
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most_connected = sorted(
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self.signal_connections.items(), key=lambda x: len(x[1]), reverse=True
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)[:5]
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# Find most emitted signals
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most_emitted = sorted(
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self.signal_emissions.items(), key=lambda x: len(x[1]), reverse=True
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)[:5]
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# Signal density (signals per GDScript file)
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gdscript_files = sum(
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1 for f in self.files if f.get("language") == "GDScript"
|
||||
)
|
||||
signal_density = (
|
||||
total_signals / gdscript_files if gdscript_files > 0 else 0
|
||||
)
|
||||
|
||||
return {
|
||||
"total_signals": total_signals,
|
||||
"total_connections": total_connections,
|
||||
"total_emissions": total_emissions,
|
||||
"signal_density": round(signal_density, 2),
|
||||
"gdscript_files": gdscript_files,
|
||||
"most_connected_signals": [
|
||||
{"signal": sig, "connection_count": len(conns)}
|
||||
for sig, conns in most_connected
|
||||
],
|
||||
"most_emitted_signals": [
|
||||
{"signal": sig, "emission_count": len(emits)}
|
||||
for sig, emits in most_emitted
|
||||
],
|
||||
}
|
||||
|
||||
def generate_signal_flow_diagram(self) -> str:
|
||||
"""
|
||||
Generate a Mermaid diagram of signal flow.
|
||||
|
||||
Returns:
|
||||
Mermaid diagram as string
|
||||
"""
|
||||
lines = ["```mermaid", "graph LR"]
|
||||
|
||||
# Add signal nodes
|
||||
for i, signal in enumerate(self.signal_declarations.keys()):
|
||||
safe_signal = signal.replace("_", "")
|
||||
lines.append(f" {safe_signal}[({signal})]")
|
||||
|
||||
# Add flow connections
|
||||
for chain in self.signal_flow_chains[:20]: # Limit to prevent huge diagrams
|
||||
signal = chain["signal"].replace("_", "")
|
||||
source = Path(chain["source"]).stem.replace("_", "")
|
||||
target = Path(chain["target"]).stem.replace("_", "")
|
||||
handler = chain["handler"].replace("_", "")
|
||||
|
||||
lines.append(f" {source} -->|emit| {signal}")
|
||||
lines.append(f" {signal} -->|{handler}| {target}")
|
||||
|
||||
lines.append("```")
|
||||
return "\n".join(lines)
|
||||
|
||||
def save_analysis(self, output_dir: Path):
|
||||
"""
|
||||
Save signal flow analysis to files.
|
||||
|
||||
Args:
|
||||
output_dir: Directory to save analysis results
|
||||
"""
|
||||
signal_dir = output_dir / "signals"
|
||||
signal_dir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
analysis = self.analyze()
|
||||
|
||||
# Save JSON analysis
|
||||
with open(signal_dir / "signal_flow.json", "w") as f:
|
||||
json.dump(analysis, f, indent=2)
|
||||
|
||||
# Save signal reference markdown
|
||||
self._generate_signal_reference(signal_dir, analysis)
|
||||
|
||||
# Save flow diagram
|
||||
diagram = self.generate_signal_flow_diagram()
|
||||
with open(signal_dir / "signal_flow.mmd", "w") as f:
|
||||
f.write(diagram)
|
||||
|
||||
return signal_dir
|
||||
|
||||
def _generate_signal_reference(self, output_dir: Path, analysis: dict):
|
||||
"""Generate human-readable signal reference."""
|
||||
lines = ["# Signal Reference\n"]
|
||||
|
||||
# Statistics
|
||||
stats = analysis["statistics"]
|
||||
lines.append("## Statistics\n")
|
||||
lines.append(f"- **Total Signals**: {stats['total_signals']}")
|
||||
lines.append(f"- **Total Connections**: {stats['total_connections']}")
|
||||
lines.append(f"- **Total Emissions**: {stats['total_emissions']}")
|
||||
lines.append(
|
||||
f"- **Signal Density**: {stats['signal_density']} signals per file\n"
|
||||
)
|
||||
|
||||
# Patterns
|
||||
if analysis["patterns"]:
|
||||
lines.append("## Detected Patterns\n")
|
||||
for pattern_name, pattern in analysis["patterns"].items():
|
||||
lines.append(f"### {pattern_name}")
|
||||
lines.append(f"- **Confidence**: {pattern['confidence']}")
|
||||
lines.append(f"- **Description**: {pattern['description']}\n")
|
||||
|
||||
# Signal declarations
|
||||
lines.append("## Signal Declarations\n")
|
||||
for signal, data in analysis["signal_declarations"].items():
|
||||
lines.append(f"### `{signal}`")
|
||||
lines.append(f"- **File**: `{data['file']}`")
|
||||
if data["parameters"]:
|
||||
lines.append(f"- **Parameters**: `{data['parameters']}`")
|
||||
if data["documentation"]:
|
||||
lines.append(f"- **Documentation**: {data['documentation']}")
|
||||
lines.append("")
|
||||
|
||||
# Most connected signals
|
||||
if stats["most_connected_signals"]:
|
||||
lines.append("## Most Connected Signals\n")
|
||||
for item in stats["most_connected_signals"]:
|
||||
lines.append(
|
||||
f"- **{item['signal']}**: {item['connection_count']} connections"
|
||||
)
|
||||
lines.append("")
|
||||
|
||||
with open(output_dir / "signal_reference.md", "w") as f:
|
||||
f.write("\n".join(lines))
|
||||
Reference in New Issue
Block a user